Information about the municipality city St. Ingbert:

View the information on over 100 topics about the municipality city St. Ingbert! With charts, links to more information & an overview of all figures in 1 table.
View the information on over 100 topics about the municipality city St. Ingbert! With charts, links to more information & an overview of all figures in 1 table.
Population numbers per year
The number of inhabitants in the municipality city St. Ingbert

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Population numbers in the municipality city St. Ingbert for the years 2009 thru 2019.

The number of inhabitants is the number of persons as registered in the population register on January 1st.

Population at the map of St. Ingbert
Map of Rural district Saarpfalz-Kreis with the population per municipality.Municipality St. Ingbert is highlighted with a red edge.. This page shows a lot of information about residents (such as the distribution by age groups, family composition, gender, native or German with an immigration background, ...), homes (numbers, types, price development, use, type of property, ...) and more (car ownership, energy consumption, ...) based on open data from the German Federal Agency for Cartography, the Federal Statistical Office (DESTATIS), the Regional Statistical Offices and various other sources!

Map of Rural district Saarpfalz-Kreis with the population per municipality.Municipality St. Ingbert is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality city Bexbach, 2: municipality city Homburg, 3: municipality Kirkel, 4: municipality city St. Ingbert, 5: municipality city Blieskastel, 6: municipality Mandelbachtal, 7: municipality Gersheim.

Population per age group
The percentage of inhabitants per age group in the municipality city St. Ingbert

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Municipality city St. Ingbert, 2019, age groups.

Population, age groups: percentage of inhabitants per age category.

The number of rooms per house (dwelling)
The number of rooms of the houses in the municipality city St. Ingbert

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Municipality city St. Ingbert, 2019, number of rooms per house.

The percentage shows the relative share of houses per category based on the numer of rooms: 1 to 2 rooms, 3 to 4 rooms or 5 rooms or more. This is based on the total number of rooms as identified for all dwellings in the municipality city St. Ingbert.

Data about more than 100 topics!

The table below shows data for more than 100 topics as most recently available for the municipality city St. Ingbert. Select a category to display the related topics:

BusinessValueUnitYear
Businesses21Number2017
Active persons5.188Number2017
Gross wages€231.366Euro2017
DwellingsValueUnitYear
Houses 1 room294Number2019
Houses 2 rooms895Number2019
Houses 3 rooms3.357Number2019
Houses 4 rooms4.172Number2019
Houses 5 rooms3.490Number2019
Houses 6 rooms3.185Number2019
Houses 7+ rooms 3.460Number2019
Houses 1-2 rooms1.189Number2019
Houses 3-4 rooms7.529Number2019
Houses 5+ rooms10.135Number2019
1-2 rooms6%Percentage2019
3-4 rooms40%Percentage2019
5+ rooms54%Percentage2019
ElectionsValueUnitYear
Voters Bundestag28876,00Number2017
Voter turnout Bundestag78Number2017
Votes valid Bundestag22.245Number2017
Votes Bundestag CDU/CSU7.627Number2017
Votes Bundestag SPD5.459Number2017
Votes Bundestag GRÜNE1.404Number2017
Votes Bundestag FDP2.002Number2017
Votes Bundestag DIE LINKE2.734Number2017
Votes Bundestag AfD2.225Number2017
Votes Bundestag other parties794Number2017
Votes Bundestag total22.245Number2017
% Votes Bundestag CDU/CSU26%Percentage2017
% Votes Bundestag SPD19%Percentage2017
% Votes Bundestag GRÜNE5%Percentage2017
% Votes Bundestag FDP7%Percentage2017
% Votes Bundestag DIE LINKE9%Percentage2017
% Votes Bundestag AfD8%Percentage2017
% Votes Bundestag other parties3%Percentage2017
EmploymentValueUnitYear
Employees13.684Number2019
Employees male7.314Number2019
Employees female6.370Number2019
Employees foreigner1.183Number2019
Employees male foreigner746Number2019
Employees female foreigner437Number2019
Unemployed1.014Number2018
Unemployed foreigners300Number2018
Unemployed severely disabled49Number2018
Unemployed 15-2015Number2018
Unemployed 15-2579Number2018
Unemployed 55-65259Number2018
Unemployed long-term360Number2018
% Unemployed3%Percentage2018
% Unemployed foreigners1%Percentage of the population2018
% Unemployed severely disabled0%Percentage of the population2018
% Unemployed 15-200%Percentage of the population2018
% Unemployed 15-250%Percentage of the population2018
% Unemployed 55-651%Percentage of the population2018
% Unemployed long-term1%Percentage of the population2018
IncomeValueUnitYear
Income receivers18.182Number2015
Income total€689.872Euro2015
Income tax€117.695Euro2015
PopulationValueUnitYear
Population35.714Number2019
Men17.116Number2019
Women18.598Number2019
% Men48%Percentage2019
% Women52%Percentage2019
0-185.086Number2019
18-304.200Number2019
30-455.677Number2019
45-608.487Number2019
18-6018.364Number2019
60-757.225Number2019
60+12.264Number2019
Average age48Average number2019
Average age male46Average number2019
Average age female50Average number2019
Births266Number2018
Births male130Number2018
Births female136Number2018
1K Births7Number per 1000 inhabitants2018
Deaths517Number2018
Deaths male240Number2018
Deaths female277Number2018
1K Deaths14Number2018
0-3838Number2019
Girls 0-3407Number2019
Boys 0-3431Number2019
3-6847Number2019
Girls 3-6405Number2019
Boys 3-6442Number2019
6-101.085Number2019
10-151.445Number2019
15-18871Number2019
18-20692Number2019
20-251.721Number2019
25-301.787Number2019
30-351.911Number2019
35-401.901Number2019
40-451.865Number2019
45-502.244Number2019
50-553.067Number2019
55-603.176Number2019
60-652.826Number2019
65-754.399Number2019
Women 65-702.314Number2019
Men 65-702.085Number2019
75+5.039Number2019
Women 75+3.091Number2019
Men 75+1.948Number2019
% 0-108%Percentage2019
% 10-186%Percentage2019
% 18-3012%Percentage2019
% 30-4516%Percentage2019
% 45-6024%Percentage2019
% 60+34%Percentage2019
Real estateValueUnitYear
Property tax A revenueno dataEurono data
Property tax B revenueno dataEurono data
Trade tax actual revenueno dataEurono data
Property tax A basic amountno dataEurono data
Property tax B basic amountno dataEurono data
Trade tax basic amountno dataEurono data
Property tax A rateno dataEurono data
Property tax B rateno dataEurono data
Trade tax rateno dataEurono data
Real tax raising forceno dataEurono data
Trade tax levyno dataEurono data
Trade tax netno dataEurono data
Community share in income taxno dataEurono data
Community share in sales taxno dataEurono data
Tax revenueno dataEurono data
RegionalValueUnitYear
Region code100450117117Code2019
Region code 8 digits10045117Code10045117
Sorting code100450117117Code100450117117
Sorting code 8 digits10045117Code10045117
Region nameSt. IngbertName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipality cityCategorical type2019
Region name with typemunicipality city St. IngbertName2019
Region name in GermanGemeinde Stadt St. IngbertName2019
Direct subregionsno dataNumber2019
NUTS codeDEC05Code2019
Area50Area in km²2019
ReligionValueUnitYear
Roman Catholic church22.502Number2011
Protestant church6.861Number2011
Other or none7.282Number2011
% Roman Catholic church61%Percentage2011
% Protestant church19%Percentage2011
% Other or none20%Percentage2011
Roman Catholic church German21.551Number2011
Protestant church German6.791Number2011
Other or none German6.182Number2011
% Roman Catholic church German62%Percentage2011
% Protestant church German20%Percentage2011
% Other or none German Foreign18%Percentage2011
Roman Catholic church Foreign951Number2011
Protestant church Foreign70Number2011
Other or none Foreign1.100Number2011
% Roman Catholic church Foreign45%Percentage2011
% Protestant church Foreign3%Percentage2011
% Other or none Foreign52%Percentage2011
Open data sources used

Data is used from multiple German open data providers. See this description of the sources with the definitions of all regional topics.

Sources & definitions
Under development
Work is in progress to add more information to this page

This page will be further expanded with more topics in clear graphs. This will be done in several iterations in the coming weeks.

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